Maris Konisevs

Patient Identity Persists in Federated Intracranial EEG: An Identifiability–Utility Analysis Under Subject-Disjoint Evaluation

Federated learning is increasingly adopted for clinical EEG because raw recordings remain at their originating institutions, creating the perception that resulting models are inherently privacy-preserving. Using the SWEC intracranial EEG (iEEG) cohort, we investigate whether representations supporting seizure detection...